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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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that implement the provisions of the ESA/France Agreement on CSG (le Centre Spatial Guyanais) and preparing CSG evolutions (e.g. projects toward a more sustainable Spaceport). Candidates interested are encouraged
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across spatial scales. The project will bring together empirical data analysis, experiments, and development of ecological theory to provide a holistic view of pollinator systems under human disturbance
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: The courses are offered January 26, 2026 to May 15, 2026. INFO 615 Spatial Statistics This course covers specialized methods and models that have been created for performing statistical analysis on spatial data
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signature. More information can be obtained in: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II. Preferential Requirements Experience in processing and handling spatial data (GIS-related
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program focused on spatial analysis and health policy, and will be capable of teaching courses in these core areas as well as mentoring graduate and undergraduate students. The teaching load
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publications in relevant fields is expected. Familiarity with spatial analysis, quantitative methods, and/or qualitative fieldwork will be considered an asset. Excellent written and spoken English is required
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Data Management concentrates on the methodology of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods
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working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/356354/phd-position-numerical-analysis… Requirements Specific Requirements You hold, or are working towards, a
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analysis, and spatial -omics. An ability to learn new skills, take initiative, attention to detail, and conceptualize data is essential. More details of the Foltz lab can be found here: https://jfoltzlab.org